Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Effects of smartphone sensor variability in road roughness evaluation
Accelerometers embedded in smartphones have become an alternative means of measuring the roughness of roads. However, the differences in their sensitivity and sampling rates between smartphones could produce measurement inconsistencies that challenge the wide spread of the smartphone approach for road roughness measurements. In this study, the roughness measurement inconsistency was investigated between smartphones from three different brands. Using the same vehicle, device mount method, traversal speed, and method of producing a roughness index, field experiments demonstrated that accelerometer sensitivities and maximum sample rates vary significantly among smartphones of the same brand as well as across brands. For each smartphone, to achieve a margin-of-error within a 95% of confidence, significant large amounts of traversals are needed. Specifically, 24 and 35 traversals for a paved and an unpaved road, respectively. A higher sampling rate produced more consistent measurements and the least margin-of-error but resulted in larger data sizes. In addition, the measurements from all smartphones were not very sensitive to the size of the feature extraction window, therefore, selecting the largest practical window size will minimise the data size without significant loss of accuracy. For practical application, calibration is necessary to achieve consistent roughness measurements between various different smartphones.
Effects of smartphone sensor variability in road roughness evaluation
Accelerometers embedded in smartphones have become an alternative means of measuring the roughness of roads. However, the differences in their sensitivity and sampling rates between smartphones could produce measurement inconsistencies that challenge the wide spread of the smartphone approach for road roughness measurements. In this study, the roughness measurement inconsistency was investigated between smartphones from three different brands. Using the same vehicle, device mount method, traversal speed, and method of producing a roughness index, field experiments demonstrated that accelerometer sensitivities and maximum sample rates vary significantly among smartphones of the same brand as well as across brands. For each smartphone, to achieve a margin-of-error within a 95% of confidence, significant large amounts of traversals are needed. Specifically, 24 and 35 traversals for a paved and an unpaved road, respectively. A higher sampling rate produced more consistent measurements and the least margin-of-error but resulted in larger data sizes. In addition, the measurements from all smartphones were not very sensitive to the size of the feature extraction window, therefore, selecting the largest practical window size will minimise the data size without significant loss of accuracy. For practical application, calibration is necessary to achieve consistent roughness measurements between various different smartphones.
Effects of smartphone sensor variability in road roughness evaluation
Ahmed, Hafiz Usman (Autor:in) / Hu, Liuqing (Autor:in) / Yang, Xinyi (Autor:in) / Bridgelall, Raj (Autor:in) / Huang, Ying (Autor:in)
International Journal of Pavement Engineering ; 23 ; 4404-4409
15.10.2022
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Evaluation framework for smartphone-based road roughness index estimation systems
| Taylor & Francis Verlag | 2023
Applicability of smartphone-based roughness data for rural road pavement condition evaluation
| Taylor & Francis Verlag | 2022
Feasibility Assessment of a Smartphone-Based Application to Estimate Road Roughness
| Online Contents | 2018
Feasibility Assessment of a Smartphone-Based Application to Estimate Road Roughness
| Springer Verlag | 2017
Influence of surface distresses on smartphone-based pavement roughness evaluation
| Taylor & Francis Verlag | 2021